@xPetu

Due to popular demand, here's a Google drive link to my thesis: https://drive.google.com/file/d/1CkYW0JdMfXXcczFvqjXcfp64D8eMIq1d/view?usp=sharing

Huge thank you to the 1,000 people who subscribed to Coachless in its early stage. We changed our default subscription period from 90 to 30 days now, making the Item Analysis feature more accessible. Free version is now also implemented: https://coachless.gg/items

@christhis9597

Bro is so invested in shen he is writing his masters thesis and paper on him

@spuriusscapula6481

The thing I learned from this video is that anytime I'm about to win for certain with shen, I need to recall and buy Rylais so that it has a 100% winrate and thus people start buying it and throwing their games

@nathanlecam941

I stopped playing but i still enjoy your videos. Because you don't only put your heart and passion in them, but also your intelligence and you make it understandable for anyone. 
Thank you and good luck on your research!

@guilhermemalavolta4491

Bro, as an engineer, it's umbeliveble nice to hear you bringing biases and data to the conversation! YOU FKING ROCKS, SHEN GOD!

@Gork862

This is the kind of analysis I wish we saw in every game dev team. I know your content is primarily LoL focused, but it would be really cool to see if this can be adapted to other MOBAs and become a sort of standard for analyzing MOBAs as a whole.

One thing I think would be cool (albeit difficult to implement) is a ML model that takes into account not just the physical vs magical damage, but the specific hero matchups and maybe even team comps as a whole. I imagine that feeding enough of that data into a model would produce some interesting predictions.

@GlacialScion

Riot has always seemed to have an issue with data analysis where they know enough to collect and aggregate an enormous amount of data, but not enough to avoid all of the huge pitfalls inherent to statistical analysis. 

Every so often, Phreak accidentally makes this obvious in his videos. Most recently, at least to my knowledge, when he defended the ping changes by saying that survey responses showed a reduction in reports of negative communication interactions. The first comment under that video was pointing out that if those were the metrics Riot was using, their best course of action would be to remove all ability to communicate, thus bringing the credible reports of negative communication to zero.

Statistics is an extremely difficult and counterintuitive field. Being smart and able to run the numbers isn't all that's required to make good use of it, but it doesn't come across as if the people at Riot appreciate that fact.

@gamingfunnel

As much as your videos make me so happy, we all have goals that we strive for and need to achieve. I wish you the best of luck, and hope that in your travels, there is a chance I get to meet you. Thank you, and I can not wait to wait for more tech in December.

@ArchonofAethyrius

I never thought I'd be interested on a thesis on League of Legends, but I know what I'm gonna be reading for the next few days.

@vigomatuka3055

You are the most positive and interesting LoL youtuber I have ever watched. I love your analytics, comments and thoughts about the game, they are all very useful and interesting to listen to. I find both videos like this and your normal videos very enjoyable. Thank you for the years of entertainment, I hope you have a pleasant journey and am looking forward to your next video when you come back!

@HienLeGia

Happy that your can achieve more form League than most, especially from studying Mathematical Algorithms and applied Statistics

Edit: Happy Holiday whenever you decide to upload, and always remember- you can always learn, after you finished your formal studies

@bugsbaddy7303

Favourite league creator full stop. Been missing your more regular uploads, but I love hearing a dope person succeed in life way more so it's plenty offset and makes me happy to hear brother. Keep being real and we'll still be around when you're back

@ccivinski

Hoping you have success on your endeavor!

A bit sad there will be no more videos for a while, but you gotta do what you gotta do

@helleye311

Congratulations on the graduation!
The tech is great! super interesting data. If I was actually playing league, I'd definitely be paying for coachless just to go into the numbers. 

I guess we finally have the mathematically correct build.

@muertem7875

Good luck on your project xPetu

@chrischeng5123

Yoo i also did my Masters Thesis on League of Legends too! That's so wild that 4 months after my graduation I see this video lol

@TheRealKeymaster

Riot actually analyses something similar. I highly suggest you the video of Phreak explaining champion balance, and how they are balancing champions based on mastery. In this video they also explain that they have data that lets them see how much impact a specific champion has in the game. This means they can actually see that for example Yuumi has the least impact in the game (surprize, surpize). Yours is also not bad, but having this in mind, if specific items for example on shen, were particularly strong, riot would automatically see this in their "champ impact data" and they will adjust the items/champs accordingly. That is actually one of their main metrics they use to determine if a champ should receive buffs or nerfs. Love your content though, its always great to see and learn 🙂

@Foatizenknechtl

nah mate take ur time to enjoy the world. you will never be this healthy and agile. go on, take ur time. im just happy youre making progress :) ive been watching for like 5 years or more

@Kaiserroulade

We will miss you master, but I hope you enjoy your trip. We love you, take care!

@primeeraser2564

Bro I love numbers and maths as a whole, this like genuinely fascinated me. Its actually so crazy how these statics are quite misleading so I would definitely love to see if you developed something for league that eliminates the selection bias